Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
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Displaying 401 to 500 (from 2,534) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 26  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 401  A*26:01:01-B*39:01:01-C*12:03:01-DRB1*07:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 402  A*31:01:02-B*39:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 403  A*33:03:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 404  A*01:02-B*39:01-C*02:05-DRB1*07:01-DQB1*02:01-DPB1*04:01  Panama 0.1900462
 405  A*02:06-B*39:01-C*03:04-DRB1*04:04-DQB1*04:02-DPB1*14:01  Panama 0.1900462
 406  A*24:02-B*39:01-C*07:02-DRB1*04:07-DQB1*03:02-DPB1*04:02  Panama 0.1900462
 407  A*24:02-B*39:01-C*07:02-DRB1*08:01-DQB1*04:02-DPB1*04:02  Panama 0.1900462
 408  A*31:01-B*39:01-C*07:01-DRB1*03:01-DQB1*03:01-DPB1*04:02  Panama 0.1900462
 409  A*34:02-B*39:01-C*03:05-DRB1*08:02-DQB1*03:01-DPB1*04:02  Panama 0.1900462
 410  B*39:01-C*12:03  USA African American pop 4 0.18702,411
 411  A*01:01-B*39:01-C*15:02-DRB1*14:15-DQB1*05:03  Malaysia Peninsular Indian 0.1845271
 412  A*11:01-B*39:01-C*12:04-DRB1*14:01-DQB1*06:02  Malaysia Peninsular Indian 0.1845271
 413  A*24:03-B*39:01-C*12:04-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Indian 0.1845271
 414  A*24:07-B*39:01-C*07:01-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 415  A*68:01-B*39:01-C*12:03-DRB1*13:01-DQB1*06:03  USA NMDP Caribean Indian 0.181414,339
 416  A*02:01-B*39:01-C*15:02  Italy pop 5 0.1800975
 417  A*26:01-B*39:01-C*12:03  Italy pop 5 0.1800975
 418  A*32:01-B*39:01-C*12:03  Italy pop 5 0.1800975
 419  B*39:01-C*07:02  Italy pop 5 0.1800975
 420  A*26:01-B*39:01-C*07:02-DRB1*08:03-DQB1*06:01  USA NMDP Hawaiian or other Pacific Islander 0.177311,499
 421  A*02:01-B*39:01-DRB1*11:04  Israel Argentina Jews 0.16804,307
 422  A*02:03-B*39:01  USA Asian pop 2 0.16301,772
 423  A*02:06-B*39:01-C*07:02-DRB1*08:02  Japan pop 16 0.162018,604
 424  A*02:01-B*39:01-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*02:01  Russia Karelia 0.16191,075
 425  A*02:01-B*39:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.16101,159
 426  B*39:01-DRB1*07:01  Italy pop 5 0.1600975
 427  B*39:01-DRB1*11:01  Italy pop 5 0.1600975
 428  B*39:01-DRB1*12:01  Italy pop 5 0.1600975
 429  A*31:01-B*39:01-C*12:03-DRB1*12:01  Poland DKMS 0.157020,653
 430  A*31:01-B*39:01-C*07:02-DRB1*04:07-DQB1*03:02  USA NMDP American Indian South or Central America 0.15515,926
 431  A*26:01-B*39:01-C*07:02-DRB1*08:03  Germany DKMS - China minority 0.15501,282
 432  A*02:01-B*39:01-C*07:02-DRB1*08:11-DQB1*04:02  USA NMDP American Indian South or Central America 0.15495,926
 433  A*02:01:01:01-B*39:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.15251,510
 434  A*02:01-B*39:01  USA African American pop 4 0.15202,411
 435  A*02:01-B*39:01-DRB1*04:03-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 436  A*02:01-B*39:01-DRB1*04:03-DQB1*03:04  Mexico Mexico City Tlalpan 0.1515330
 437  A*02:01-B*39:01-DRB1*04:05-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 438  A*02:01-B*39:01-DRB1*04:11-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 439  A*03:01-B*39:01-DRB1*15:02-DQB1*06:02  Mexico Mexico City Tlalpan 0.1515330
 440  A*11:01-B*39:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 441  A*11:01-B*39:01-DRB1*07:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 442  A*24:02-B*39:01-DRB1*01:03-DQB1*05:01  Mexico Mexico City Tlalpan 0.1515330
 443  A*24:02-B*39:01-DRB1*07:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 444  A*24:02-B*39:01-DRB1*07:05-DQB1*02:02  Mexico Mexico City Tlalpan 0.1515330
 445  A*24:02-B*39:01-DRB1*13:01-DQB1*06:03  Mexico Mexico City Tlalpan 0.1515330
 446  A*24:02-B*39:01-DRB1*14:02-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 447  A*24:02-B*39:01-DRB1*15:01-DQB1*06:02  Mexico Mexico City Tlalpan 0.1515330
 448  A*26:01-B*39:01-DRB1*14:02-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 449  A*29:01-B*39:01-DRB1*07:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 450  A*30:01-B*39:01-DRB1*03:03-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 451  A*30:01-B*39:01-DRB1*13:01-DQB1*06:04  Mexico Mexico City Tlalpan 0.1515330
 452  A*31:01-B*39:01-DRB1*01:02-DQB1*05:01  Mexico Mexico City Tlalpan 0.1515330
 453  A*31:01-B*39:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 454  A*31:01-B*39:01-DRB1*14:01-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 455  A*31:01-B*39:01-DRB1*14:06-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 456  A*32:01-B*39:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Tlalpan 0.1515330
 457  A*33:01-B*39:01-DRB1*01:01-DQB1*05:01  Mexico Mexico City Tlalpan 0.1515330
 458  A*36-B*39:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 459  A*36-B*39:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 460  A*68:01-B*39:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Tlalpan 0.1515330
 461  A*68:01-B*39:01-DRB1*08:04-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 462  A*68:01-B*39:01-DRB1*11:01-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 463  A*68:01-B*39:01-DRB1*13:03-DQB1*06:03  Mexico Mexico City Tlalpan 0.1515330
 464  A*68:01-B*39:01-DRB1*14:04-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 465  A*68:03-B*39:01-DRB1*04:03-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 466  A*68:03-B*39:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 467  A*74:01-B*39:01-DRB1*11:01-DQB1*06:03  Mexico Mexico City Tlalpan 0.1515330
 468  A*02:01-B*39:01-C*07:02-DRB1*15:01  Japan pop 16 0.151018,604
 469  A*02:01-B*39:01-DRB1*07:01  Israel Argentina Jews 0.15004,307
 470  A*03:01-B*39:01-C*12:03-DRB1*04:01  Germany DKMS - Bosnia and Herzegovina minority 0.14601,028
 471  A*11:01-B*39:01-C*12:03-DRB1*16:01  Germany DKMS - Bosnia and Herzegovina minority 0.14601,028
 472  A*02:01-B*39:01-C*12:03-DRB1*11:01  Germany DKMS - United Kingdom minority 0.14401,043
 473  A*25:01-B*39:01-C*12:03-DRB1*07:01  Germany DKMS - United Kingdom minority 0.14401,043
 474  A*02:01-B*39:01-C*12:03-DRB1*11:04  Germany DKMS - Greece minority 0.14201,894
 475  A*02:01-B*39:01-DRB1*11:04  Israel USSR Jews 0.141045,681
 476  A*03:01-B*39:01-C*12:03-DRB1*14:01  Germany DKMS - Croatia minority 0.14102,057
 477  A*01:01-B*39:01-C*12:03-DRB1*11:01-DQB1*06:04  Italy pop 5 0.1400975
 478  A*01:01-B*39:01-C*12:03-DRB1*11:04-DQB1*03:03  Italy pop 5 0.1400975
 479  A*02:01-B*39:01-C*06:02-DRB1*11:04-DQB1*03:01  Italy pop 5 0.1400975
 480  A*02:01-B*39:01-C*12:03-DRB1*01:01-DQB1*05:01  Italy pop 5 0.1400975
 481  A*02:01-B*39:01-C*12:03-DRB1*12:01-DQB1*03:01  Italy pop 5 0.1400975
 482  A*02:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Italy pop 5 0.1400975
 483  A*02:01-B*39:01-C*15:02-DRB1*16:01-DQB1*03:02  Italy pop 5 0.1400975
 484  A*03:01:01-B*39:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.1400356
 485  A*11:01:01-B*39:01:01-C*03:03:01-DRB1*04:04:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 486  A*24:02:01-B*39:01:01-C*02:02:02-DRB1*01:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 487  A*24:02:01-B*39:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 488  A*24:02-B*39:01-C*05:01-DRB1*07:01-DQB1*02:02  Italy pop 5 0.1400975
 489  A*24:02-B*39:01-C*12:03-DRB1*01:01-DQB1*05:01  Italy pop 5 0.1400975
 490  A*24:02-B*39:01-C*12:03-DRB1*04:02-DQB1*03:02  Italy pop 5 0.1400975
 491  A*24:02-B*39:01-C*15:02-DRB1*12:01-DQB1*03:01  Italy pop 5 0.1400975
 492  A*26:01-B*39:01-C*12:03-DRB1*04:04-DQB1*05:02  Italy pop 5 0.1400975
 493  A*26:01-B*39:01-C*12:03-DRB1*11:04-DQB1*03:01  Italy pop 5 0.1400975
 494  A*26:15-B*39:01-C*12:03-DRB1*11:04-DQB1*05:02  Italy pop 5 0.1400975
 495  A*30:02-B*39:01-C*07:01-DRB1*11:01-DQB1*03:01  Italy pop 5 0.1400975
 496  A*31:01:02-B*39:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 497  A*31:01:02-B*39:01:01-C*12:03:01-DRB1*04:04:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 498  A*31:01:02-B*39:01:01-C*12:03:01-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.1400356
 499  A*31:01:02-B*39:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 500  A*33:03:01-B*39:01:01-C*04:01:01-DRB1*08:03:02-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356

Notes:

* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
   Important: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).


Displaying 401 to 500 (from 2,534) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 26  


   

Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.

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